Updated notebooks to make them more "general"

sdk/digitaltwins/azure-digitaltwins-core/samples/notebooks/models/Patron.json

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+{
+    "@id": "dtmi:mymodels:patron;1",
+    "@type": "Interface",
+    "displayName": "Patron",
+    "contents": [
+        {
+            "@type": "Command",
+            "name": "order",
+            "request": {
+                "name": "wallet",
+                "displayName": "available money",
+                "description": "how much the patron is willing to spend",
+                "schema": "double"
+            },
+            "response": {
+                "name": "decision",
+                "displayName": "consumer decision",
+                "schema": "string"
+            }
+        },
+        {
+            "@type": "Property",
+            "name": "totalWaitTime",
+            "displayName": "Total Wait Time",
+            "schema": "double",
+            "comment": "time in seconds that the customer is required to wait"
+        },
+        {
+            "@type": "Property",
+            "name": "satisfaction",
+            "displayName": "Customer Satisfaction",
+            "schema": "integer",
+            "comment": "1-10 scale of how likely to recommend to a friend (NPS)"
+        },
+        {
+            "@type": "Relationship",
+            "name": "locatedIn"
+        }
+    ],
+    "@context": "dtmi:dtdl:context;2",
+    "comment": "This should represent one restaurant visitor.",
+    "description": "As an example, contains all of the properties possible in the DTDL."
+}

sdk/digitaltwins/azure-digitaltwins-core/samples/notebooks/models/area.json

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+{
+    "@id": "dtmi:mymodels:area;1",
+    "@type": "Interface",
+    "displayName": "area",
+    "contents": [
+        {
+            "@type": "Property",
+            "name": "capacity",
+            "displayName": "capacity",
+            "schema": "double",
+            "comment": "How many people can safely be in this area."
+        },
+        {
+            "@type": "Property",
+            "name": "status",
+            "displayName": "status",
+            "schema": "string",
+            "comment": "open, closed, etc."
+        },
+        {
+            "@type": "Relationship",
+            "name": "occupiedBy"
+        }
+    ],
+    "@context": "dtmi:dtdl:context;2",
+    "comment": "A number of people in a room",
+    "description": "a room"
+}

sdk/digitaltwins/azure-digitaltwins-core/samples/notebooks/models/line.json

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+{
+    "@id": "dtmi:mymodels:line;1",
+    "@type": "Interface",
+    "displayName": "line",
+    "contents": [
+        {
+            "@type": "Property",
+            "name": "capacity",
+            "displayName": "capacity",
+            "schema": "double",
+            "comment": "How many people can safely wait in this line."
+        },
+        {
+            "@type": "Property",
+            "name": "status",
+            "displayName": "status",
+            "schema": "string",
+            "comment": "current status of the line"
+        },
+        {
+            "@type": "Relationship",
+            "name": "leadsTo",
+            "properties": [
+                {
+                    "@type": "Property",
+                    "name": "walk_distance",
+                    "schema": "double"
+                }
+            ]
+        }
+    ],
+    "@context": "dtmi:dtdl:context;2",
+    "comment": "lines can hold a number of people.",
+    "description": "a group of people waiting to get into a place."
+}

sdk/digitaltwins/azure-digitaltwins-core/samples/notebooks/models/ticket.json

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+{
+    "@id": "dtmi:mymodels:ticket;1",
+    "@type": "Interface",
+    "displayName": "ticket",
+    "contents": [
+        {
+            "@type": "Property",
+            "name": "purchaselocation_lat",
+            "displayName": "puchased location (latitude)",
+            "schema": "double",
+            "comment": "latitude of the place where the ticket was purchased"
+        },
+        {
+            "@type": "Property",
+            "name": "purchaselocation_long",
+            "displayName": "puchased location",
+            "schema": "double",
+            "comment": "longitude of the place where the ticket was purchased"
+        },
+        {
+            "@type": "Property",
+            "name": "sold_to",
+            "displayName": "sold to",
+            "schema": "string",
+            "comment": "UID of the purchaser from customer data"
+        },
+        {
+            "@type": "Property",
+            "name": "event_title",
+            "displayName": "event name",
+            "schema": "string",
+            "comment": "name or id of the event"
+        },
+        {
+            "@type": "Property",
+            "name": "ticket_location",
+            "displayName": "ticket location",
+            "schema": "string",
+            "comment": "location of the seat, for demonstration this is just a number"
+        },
+        {
+            "@type": "Property",
+            "name": "state",
+            "displayName": "state",
+            "schema": "string",
+            "comment": "current state of the ticket"
+        },
+        {
+            "@type": "Relationship",
+            "name": "ownedBy",
+            "properties": [
+                {
+                    "@type": "Property",
+                    "name": "bought_online",
+                    "schema": "boolean"
+                }
+            ]
+        }
+    ],
+    "@context": "dtmi:dtdl:context;2",
+    "comment": "A number of tickets are placed into ADT before purchase with the initial state: open",
+    "description": "an abstract ticket"
+}

sdk/digitaltwins/azure-digitaltwins-core/samples/notebooks/readme.md

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+## Digital Twin Tutorial
+
+These notebooks will show you how to create a graph and interact with it through the Python API. It will build a venue and allow you to measure the customer satisfaction of people as the pass through the system. 
+
+
+You will need: 
+* A conda environment with the latest `Azure-Digital-Twin SDK`
+* The Azure CLI tools for authentication
+* The digital twin explorer
+* A digital twin account, where you have sufficient permission. 
+
+
+The perspective of these notebooks is from the role of the **Analyst** not an application. The purpose is to use the graph to get insights on customers. This would allow you to query the API in real time, as events are happening. 
+
+| notebook | purpose |
+|----------|:-------------:|
+| 01 |  The basics of connecting, uploading models and creating twins |
+| 02 |  More details about creating relationships, updating values and basic queries |
+| 03 |  Some examples of arbitrary model changes that I made to shape the model |
+| 04 |  More detail about running queries with some examples of how to get insights |